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Eur. J. Obstet. Gynecol. Reprod. Biol. · Mar 2017
Comparative StudyCarbetocin versus oxytocin for prevention of post-partum haemorrhage at caesarean section in the United Kingdom: An economic impact analysis.
- Helen A van der Nelson, Tim Draycott, Dimitrios Siassakos, Christopher W H Yau, and Anthony J Hatswell.
- Academic Centre for Women's Health, North Bristol NHS Trust, Bristol, United Kingdom; School of Clinical Sciences, University of Bristol, 69 St Michael's Hill, Bristol, BS2 8DZ, United Kingdom. Electronic address: helenvandernelson@gmail.com.
- Eur. J. Obstet. Gynecol. Reprod. Biol. 2017 Mar 1; 210: 286-291.
ObjectiveTo determine the economic impact of the introduction of carbetocin for the prevention of postpartum haemorrhage (PPH) at caesarean section, compared to oxytocin.Study DesignThe model is a decision tree conducted from a UK National Health Service perspective. 1500 caesarean sections (both elective and emergency) were modelled over a 12 month period. Efficacy data was taken from a published Cochrane meta-analysis, and costs from NHS Reference costs, the British National Formulary and the NHS electronic Medicines Information Tool. A combination of hospital audit data and expert input from an advisory board of clinicians was used to inform resource use estimates. The main outcome measures were the incidence of PPH and total cost over a one year time horizon, as a result of using carbetocin compared to oxytocin for prevention of PPH at caesarean section.ResultsThe use of carbetocin compared to oxytocin for prevention of PPH at caesarean section was associated with a reduction of 30 (88 vs 58) PPH events (>500ml blood loss), and a cost saving of £27,518. In probabilistic sensitivity analysis, carbetocin had a 91.5% probability of producing better outcomes, and a 69.4% chance of being dominant (both cheaper and more effective) compared to oxytocin.ConclusionAt list price, the introduction of carbetocin appears to provide improved clinical outcomes along with cost savings, though this is subject to uncertainty regarding the underlying data in efficacy, resource use, and cost.Crown Copyright © 2017. Published by Elsevier B.V. All rights reserved.
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